code: def test_keras_layer_in_nn_module(self):
      net = Net()
  
      # Test using Keras layer in a nn.Module.
      # Test forward pass
      self.assertAllEqual(
          list(net(torch.empty(100, 10)).shape), [100, 1]
      )
      # Test KerasVariables are added as nn.Parameter.
      self.assertLen(list(net.parameters()), 2)
  
      # Test using KerasVariable as a torch tensor for torch ops.
      kernel = net.fc1.kernel
      transposed_kernel = torch.transpose(kernel, 0, 1)
      self.assertIsInstance(kernel, KerasVariable)
      self.assertIsInstance(
          torch.mul(kernel, transposed_kernel), torch.Tensor
      )
  
file_path: keras/integration_tests/torch_workflow_test.py
imports: import torch
  from keras import layers
  from keras import testing
  from keras.backend.common import KerasVariable
label_desc: Use image node_id 1 for calling the TorchWorkflowTest obj's underlying member method code with example usage: obj.test_keras_layer_in_nn_module() without return types